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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
Published on: July 11, 2025
Reporting and Data Systems (RADS) in Radiology: The Chinese Experience
Xiang Li1, Jing-Yi Liu2, Long-Jiang Zhang3
1Graduate School, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China; Department of Radiology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China.
China is advancing structured reporting in radiology using the Reporting and Data Systems (RADS) framework. Local adaptation and AI integration present opportunities for global standardization in medical imaging.
Area of Science:
- Radiology
- Medical Imaging
- Health Informatics
Background:
- The Reporting and Data Systems (RADS) framework is crucial for structured reporting and standardization in radiology.
- China has been actively developing and adapting major RADS systems for clinical use.
Purpose of the Study:
- To review the development and local adaptation of major RADS systems in China.
- To identify challenges and opportunities in implementing RADS in Chinese radiology.
Main Methods:
- Review of established, recently introduced, and emerging RADS frameworks in China.
- Analysis of implementation status, challenges, and future prospects.
Main Results:
- Established RADS frameworks (breast, liver, lung) are widely used.
- Newer frameworks (thyroid, prostate, coronary artery disease) are gaining adoption.
- Emerging frameworks (ovarian-adnexal, bone, colon, neck, lymph node) are in early stages.
- Challenges include local adaptation, data sharing, and quality control.
Conclusions:
- China's radiology sector faces challenges but has unique opportunities due to large imaging volume and AI integration.
- Continued local adaptation, multicenter validation, and intelligent automation are key.
- Chinese radiology is poised to contribute significantly to global standardization efforts.
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